Enterprise and public Knowledge Graphs (KGs) are known to be incomplete. Methods for automatic completion, sometimes by rule learning, scale well. While previous rule-based methods learn closed (non-existential) rules, we introduce Open Path (OP) rules that constrained existential rules. We present a novel algorithm, OPRL, learning OP Closed complete KG answering queries of unclear origin, usua...